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Related Experiment Video

Updated: Aug 5, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

ConnecSenS, a Versatile IoT Platform for Environment Monitoring: Bring Water to Cloud.

Laure Moiroux-Arvis¹, Laurent Royer², David Sarramia²

¹Université Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, France.

Sensors (Basel, Switzerland)

|March 30, 2023

Summary

Climate change impacts water resources, necessitating advanced monitoring. This study introduces an open, LoRaWAN-based sensor system for long-term environmental data collection and cloud-based analysis, aiding diverse users.

Keywords:

IoT LoRaWAN cloud data integration data stream environmental monitoring water wireless sensor network

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Last Updated: Aug 5, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

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Published on: February 3, 2021

Area of Science:

Environmental Science
Ecosystem Monitoring
Water Resource Management

Background:

Climate change poses significant threats to ecosystems and water resources.
Technological advancements in the Internet of Things (IoT) enable sophisticated environmental monitoring.
Isolated sites present challenges for continuous environmental data collection.

Purpose of the Study:

To present an open, LoRaWAN-based communication node for interfacing multiple sensors.
To design a robust infrastructure for long-term environmental monitoring of isolated sites.
To facilitate efficient data integration, storage, and accessibility for various stakeholders.

Main Methods:

Development of a communicating node utilizing LoRaWAN technology.
Interfacing of diverse sensors for comprehensive environmental data acquisition.
Implementation of a cloud-based workflow for data storage, indexing, and retrieval.
Creation of user-specific dashboards and extraction tools.

Main Results:

Successful deployment of an open, adaptable sensor network for environmental monitoring.
Efficient cloud-based data management enabling seamless data access.
Demonstration of the system's utility through water resource-related environmental monitoring use cases.
Facilitation of data utilization by scientists, administration, and citizens.

Conclusions:

The developed LoRaWAN infrastructure provides a scalable and efficient solution for long-term environmental monitoring of remote areas.
The system effectively addresses the need for accessible and usable environmental data, particularly for water resource management.
This approach supports informed decision-making for climate change adaptation and ecosystem preservation.